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Record a4cb6fb62efc4d9682af1b18f581b84e

FAIL

Verdict and provenance first; raw prompt/response/reasoning below, collapsed.

✕FAILanswered "ANSWER: 50" · model Gemma 3 27B

finish_reason: stop · tokens in/out: 270/737 · cost: $0.000248 · latency: 11821.5 ms

code_tracetemplatestop

verifier_detail: kind=code_trace;campaign=1;query=final_value;detail=foil:value_semantics;n_stmts=30;trace_len=32;traps=aliasing_on=1;late_binding_on=1;shadowing_on=1;inclusive_range_trap_on=0;negative_modulo_on=1;mutable_default_on=1;confusability=0

trap kind(s) this world was seeded for: aliasing_on=1

lineage: a4cb6fb6

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Why did it fail? Nemotron 3 Ultra · live on Nebius Token Factory

Ultra reads the prompt, this answer, the verified correct answer and the difficulty settings, then explains the mistake. The verifier's own classification is shown next to it for comparison.

Prompt 745 chars · 270 tokens in
Here is a short Python program.

```python
limit = 6
total = 3
values = [2, 7, 2, 9]
values.append(limit)
values.extend([9, 7])
batch = [5, 0]
cells = batch
cells.append(17)
limit += batch[-1]
cost = 5

def collect(acc):
    return acc * cost

cost = 7
limit += collect(3)

def pack(q):
    total = q * 2 + 1
    return total + 1

shift = pack(5)
limit += total + shift
level = limit - 68
count = level // 6
limit += count

def adjust(k, num=[]):
    num.append(k)
    return len(num)

peak = adjust(1)
margin = adjust(5)
limit += peak + margin
limit += total
limit += values[-1]
```

After this program runs, what is the value of `limit`? Work through it carefully, then give the final answer on its own last line as `ANSWER: <python literal>`.
Response 737 tokens out · finish: stop
Let's trace the execution of the Python code step by step.

1. `limit = 6`
2. `total = 3`
3. `values = [2, 7, 2, 9]`
4. `values.append(limit)`: `values` becomes `[2, 7, 2, 9, 6]`
5. `values.extend([9, 7])`: `values` becomes `[2, 7, 2, 9, 6, 9, 7]`
6. `batch = [5, 0]`
7. `cells = batch`: `cells` is now `[5, 0]`
8. `cells.append(17)`: `cells` becomes `[5, 0, 17]`
9. `limit += batch[-1]`: `limit += 0`, so `limit` remains 6.
10. `cost = 5`
11. `cost = 7`
12. `limit += collect(3)`: `collect(3)` returns `3 * 7 = 21`. `limit += 21`, so `limit` becomes `6 + 21 = 27`.
13. `def pack(q): ...`: Defines the `pack` function.
14. `shift = pack(5)`: `pack(5)` returns `(5 * 2 + 1) + 1 = 10 + 1 + 1 = 12`. `shift` becomes 12.
15. `limit += total + shift`: `limit += 3 + 12 = 15`. `limit` becomes `27 + 15 = 42`.
16. `level = limit - 68`: `level = 42 - 68 = -26`.
17. `count = level // 6`: `count = -26 // 6 = -5`.
18. `limit += count`: `limit += -5`. `limit` becomes `42 - 5 = 37`.
19. `def adjust(k, num=[]): ...`: Defines the `adjust` function.
20. `peak = adjust(1)`: `adjust(1)` appends 1 to `num` (which is initially `[]`), so `num` becomes `[1]`. It returns `len(num) = 1`. `peak` becomes 1.
21. `margin = adjust(5)`: `adjust(5)` appends 5 to `num` (which is now `[1]`), so `num` becomes `[1, 5]`. It returns `len(num) = 2`. `margin` becomes 2.
22. `limit += peak + margin`: `limit += 1 + 2 = 3`. `limit` becomes `37 + 3 = 40`.
23. `limit += total`: `limit += 3`. `limit` becomes `40 + 3 = 43`.
24. `limit += values[-1]`: `values[-1]` is 7. `limit += 7`. `limit` becomes `43 + 7 = 50`.

ANSWER: 50
Reasoning not captured

(no reasoning captured)

Realized dims 17
dimvalue
aliasing_on1.0
answer_size2.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on0.0
late_binding_on1.0
max_nesting0.0
mutable_default_on1.0
n_closures1.0
n_foil_matches1.0
n_live_aliases1.0
n_statements30.0
n_variables11.0
negative_modulo_on1.0
shadowing_on1.0
trace_length32.0
traps_on5.0
Latent params 11
paramvalue
aliasing_on1.0
distractor_fraction0.0
identifier_confusability0.0
inclusive_range_trap_on0.0
late_binding_on1.0
max_nesting1.0
mutable_default_on1.0
n_statements18.0
n_variables3.0
negative_modulo_on1.0
shadowing_on1.0